Triple
T1245485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danderyd Municipality |
E26753
|
entity |
| Predicate | hasHighPropertyValues |
P25941
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Danderyd Municipality, hasHighPropertyValues, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighPropertyValues Context triple: [Danderyd Municipality, hasHighPropertyValues, true]
-
A.
hasHigh
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
B.
hasHighProfileOwnership
Indicates that an entity is owned, controlled, or significantly invested in by a prominent or high-profile individual or organization.
-
C.
haveProperty
Indicates that an entity possesses, exhibits, or is characterized by a particular property or attribute.
-
D.
hasHigherClass
Indicates that one entity belongs to a higher rank, level, or category in a hierarchy than another entity.
-
E.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf6498948190b30b09d845d67ac4 |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bce611ec819092cb13d354d0903e |
completed | March 1, 2026, 10:25 p.m. |
Created at: March 1, 2026, 7:47 p.m.